{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Utilizing daal4py in Data Science Workflows\n",
    "\n",
    "The notebook below has been made to demonstrate daal4py in a data science context.  It utilizes a Cycling Dataset for pyworkout-toolkit, and attempts to create a linear regression model from the 5 features collected for telemetry to predict the user's Power output in the absence of a power meter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'3.8.10 (default, May 19 2021, 18:05:58) \\n[GCC 7.3.0]'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import glob\n",
    "import sys\n",
    "\n",
    "%matplotlib inline\n",
    "sys.version"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This example will be exploring workout data pulled from Strava, processed into a CSV for Pandas and daal4py usage.  Below, we utilize pandas to read in the CSV file, and look at the head of dataframe with .head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>altitude</th>\n",
       "      <th>cadence</th>\n",
       "      <th>distance</th>\n",
       "      <th>hr</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>power</th>\n",
       "      <th>speed</th>\n",
       "      <th>time</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>185.800003</td>\n",
       "      <td>51</td>\n",
       "      <td>3.46</td>\n",
       "      <td>81</td>\n",
       "      <td>30.313309</td>\n",
       "      <td>-97.732711</td>\n",
       "      <td>45</td>\n",
       "      <td>3.459</td>\n",
       "      <td>2016-10-20T22:01:26.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>185.800003</td>\n",
       "      <td>68</td>\n",
       "      <td>7.17</td>\n",
       "      <td>82</td>\n",
       "      <td>30.313277</td>\n",
       "      <td>-97.732715</td>\n",
       "      <td>0</td>\n",
       "      <td>3.710</td>\n",
       "      <td>2016-10-20T22:01:27.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>186.399994</td>\n",
       "      <td>38</td>\n",
       "      <td>11.04</td>\n",
       "      <td>82</td>\n",
       "      <td>30.313243</td>\n",
       "      <td>-97.732717</td>\n",
       "      <td>42</td>\n",
       "      <td>3.874</td>\n",
       "      <td>2016-10-20T22:01:28.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>186.800003</td>\n",
       "      <td>38</td>\n",
       "      <td>15.18</td>\n",
       "      <td>83</td>\n",
       "      <td>30.313212</td>\n",
       "      <td>-97.732720</td>\n",
       "      <td>5</td>\n",
       "      <td>4.135</td>\n",
       "      <td>2016-10-20T22:01:29.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>186.600006</td>\n",
       "      <td>38</td>\n",
       "      <td>19.43</td>\n",
       "      <td>83</td>\n",
       "      <td>30.313172</td>\n",
       "      <td>-97.732723</td>\n",
       "      <td>1</td>\n",
       "      <td>4.250</td>\n",
       "      <td>2016-10-20T22:01:30.000Z</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     altitude  cadence  distance  hr   latitude  longitude  power  speed  \\\n",
       "0  185.800003       51      3.46  81  30.313309 -97.732711     45  3.459   \n",
       "1  185.800003       68      7.17  82  30.313277 -97.732715      0  3.710   \n",
       "2  186.399994       38     11.04  82  30.313243 -97.732717     42  3.874   \n",
       "3  186.800003       38     15.18  83  30.313212 -97.732720      5  4.135   \n",
       "4  186.600006       38     19.43  83  30.313172 -97.732723      1  4.250   \n",
       "\n",
       "                       time  \n",
       "0  2016-10-20T22:01:26.000Z  \n",
       "1  2016-10-20T22:01:27.000Z  \n",
       "2  2016-10-20T22:01:28.000Z  \n",
       "3  2016-10-20T22:01:29.000Z  \n",
       "4  2016-10-20T22:01:30.000Z  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "workout_data_dd = pd.read_csv(\"data/cycling_dataset.csv\", index_col=0)\n",
    "workout_data_dd.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data above has several key features that would be of great use here.  \n",
    "- Altitude can affect performance, so it might be a useful feature.  \n",
    "- Cadence is the revolutions per minute of the crank, and may have possible influence.  \n",
    "- Heart Rate is a measure of the body's workout strain, and would have a high possibly of influence.\n",
    "- Distance may have a loose correlation as it is highly route dependent, but might be possible.\n",
    "- Speed has possible correlations as it ties directly into power."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Explore and visualize some of the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In general, we are trying to predict on the 'power' in Watts to see if we can generate a model that can predict one's power output without the usage of a cycling power meter.  Below are some basic scatterplots as we explore the data.  Scatterplots are great for looking for patterns and correlation in the data itself.  Below, we can see that cadence and speed are positively correlated.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "workout_data_dd.plot.scatter(\"cadence\", \"power\")\n",
    "plt.show()\n",
    "workout_data_dd.plot.scatter(\"hr\", \"power\")\n",
    "plt.show()\n",
    "workout_data_dd.plot.scatter(\"cadence\", \"speed\")\n",
    "plt.show()\n",
    "workout_data_dd.plot.scatter(\"speed\", \"power\")\n",
    "plt.show()\n",
    "workout_data_dd.plot.scatter(\"altitude\", \"power\")\n",
    "plt.show()\n",
    "workout_data_dd.plot.scatter(\"distance\", \"power\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using daal4py for Machine Learning tasks\n",
    "\n",
    "In the sections below, we will be using daal4py directly.  After importing the model, we will arrange it in a separate independent and dependent dataframes, then use the daal4py's training and prediction classes to generate a workable model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import daal4py as d4p"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is now the time to split the dataset into train and test sets.  This is demonstrated below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3902, 9)\n",
      "(3000, 9) (902, 9)\n"
     ]
    }
   ],
   "source": [
    "print(workout_data_dd.shape)\n",
    "train_set = workout_data_dd[0:3000]\n",
    "test_set = workout_data_dd[3000:]\n",
    "print(train_set.shape, test_set.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Reduce the dataset, create X.  We drop the target, and other non-essential features.\n",
    "reduced_dataset = train_set.drop([\"time\", \"power\", \"latitude\", \"longitude\"], axis=1)\n",
    "# Get the target, create Y\n",
    "target = train_set.power.values.reshape((-1, 1))\n",
    "# This is essentially doing np.array(dataset.power.values, ndmin=2).T\n",
    "# as it needs to force a 2 dimensional array as we only have 1 target"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "X is 5 features by 3k rows, Y is 3k rows by 1 column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3000, 5) (3000, 1)\n"
     ]
    }
   ],
   "source": [
    "print(reduced_dataset.values.shape, target.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training the model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create the Linear Regression Model, and train the model with the data.  We utilize daal4py's linear_regression_training class to create the model, then call .compute() with the independent and dependent data as the parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "d4p_lm = d4p.linear_regression_training(interceptFlag=True)\n",
    "lm_trained = d4p_lm.compute(reduced_dataset.values, target)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model has this number of features:  5\n"
     ]
    }
   ],
   "source": [
    "print(\"Model has this number of features: \", lm_trained.model.NumberOfFeatures)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prediction (inference) with the trained model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that the model is trained, we can test it with the test part of the dataset.  We drop the same features to match that of the trained model, and put it into daal4py's linear_regression_prediction class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "subset = test_set.drop([\"time\", \"power\", \"latitude\", \"longitude\"], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can create the Prediction object and use the reduced dataset for prediction.  The class's arguments use the independent data and the trained model from above as the parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "lm_predictor_component = d4p.linear_regression_prediction()\n",
    "result = lm_predictor_component.compute(subset.values, lm_trained.model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(result.prediction[0:300])\n",
    "plt.plot(test_set.power.values[0:300])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The graph above shows the Orange (predicted) result over the Blue (original data).  This data is notoriously sparse in features leading to a difficult to predict target!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model properties\n",
    "Another aspect of the model is the trained model's properties, which are explored below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Betas: [[ 1.51003501e+01 -1.25075548e-01  1.32249115e+00  1.64363922e-03\n",
      "   8.53155955e-01 -1.09595022e+01]]\n",
      "Number of betas: 6\n",
      "Number of Features: 5\n"
     ]
    }
   ],
   "source": [
    "print(\"Betas:\", lm_trained.model.Beta)\n",
    "print(\"Number of betas:\", lm_trained.model.NumberOfBetas)\n",
    "print(\"Number of Features:\", lm_trained.model.NumberOfFeatures)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Additional metrics\n",
    "We can generate metrics on the independent data with daal4py's low_order_moments() class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1.90063975e+01, 3.75882355e+01, 4.98258371e+03, 2.41394741e+01,\n",
       "        1.81623064e+00]])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metrics_processor = d4p.low_order_moments()\n",
    "data = metrics_processor.compute(reduced_dataset.values)\n",
    "data.standardDeviation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Migrating the trained model for inference on external systems\n",
    "\n",
    "Occasionally one may need to migrate the trained model to another system for inference only--this use case allows the training on a much more powerful machine with a larger dataset, and placing the trained model for inference-only on a smaller machine."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"trained_model2.pickle\", \"wb\") as model_pi:\n",
    "    pickle.dump(lm_trained.model, model_pi)\n",
    "    model_pi.close"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The trained model file above can be moved to an inference-only or embedded system.  This is useful if the training is extremely heavy or computed-limited.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"trained_model2.pickle\", \"rb\") as model_import:\n",
    "    lm_import = pickle.load(model_import)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The imported model from file is now usable again.  We can check the betas from the model to ensure that the trained model is present."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 1.51003501e+01, -1.25075548e-01,  1.32249115e+00,\n",
       "         1.64363922e-03,  8.53155955e-01, -1.09595022e+01]])"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lm_import.Beta"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.9 (tags/v3.10.9:1dd9be6, Dec  6 2022, 20:01:21) [MSC v.1934 64 bit (AMD64)]"
  },
  "vscode": {
   "interpreter": {
    "hash": "8837a6bc722950b4562ef1f8ddb3cf1e2be71cad9580dda11136095ace1c488e"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
